MSACompro: Improving Multiple Protein Sequence Alignment by Predicted Structural Features
MSACompro: Improving Multiple Protein Sequence Alignment by Predicted Structural Features is a scholarly work, published in 2014 in ''Methods in Molecular Biology''. The main subjects of the publication include metabolic engineering, multiple sequence alignment, biological sequence, computer science, computational biology, RNA sequencing, sequence alignment, and structural alignment. The authors designed and developed a new method MSACompro to incorporate predicted secondary structure, relative solvent accessibility, and residue-residue contact information into the currently most accurate posterior probability-based MSA methods to improve the accuracy of multiple sequence alignments.